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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Design Cost-Optimized Architectures20%- Cost-effective resource selection
  • 1. Storage class optimization in S3
    • 2. Right-sizing EC2 instances
      - Cost management tools
      • 1. AWS Cost Explorer
        • 2. Budgets and billing alarms
          Design Secure Architectures30%- Secure workloads and applications
          • 1. Data protection using KMS
            • 2. Security groups and NACLs
              - Secure access to AWS resources
              • 1. Encryption in transit and at rest
                • 2. AWS STS and temporary credentials
                  • 3. IAM users, roles, and policies
                    Design Resilient Architectures26%- Highly available architecture
                    • 1. Auto Scaling groups
                      • 2. Multi-AZ deployments
                        - Fault tolerance and recovery
                        • 1. Backup and restore strategies
                          • 2. Disaster recovery approaches
                            Design High-Performing Architectures24%- Performance scaling
                            • 1. Caching with CloudFront and ElastiCache
                              • 2. Load balancing with ELB
                                - Compute and storage optimization
                                • 1. S3 performance features
                                  • 2. EC2 instance selection

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                                    Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q305-Q310):

                                    NEW QUESTION # 305
                                    A company has implemented a self-managed DNS solution on three Amazon EC2 instances behind a Network Load Balancer (NLB) in the us-west-2 Region. Most of the company's users are located in the United States and Europe. The company wants to improve the performance and availability of the solution. The company launches and configures three EC2 instances in the eu-west-1 Region and adds the EC2 instances as targets for a new NLB.
                                    Which solution can the company use to route traffic to all the EC2 instances?

                                    Answer: C

                                    Explanation:
                                    Explanation
                                    For standard accelerators, Global Accelerator uses the AWS global network to route traffic to the optimal regional endpoint based on health, client location, and policies that you configure, which increases the availability of your applications. Endpoints for standard accelerators can be Network Load Balancers, Application Load Balancers, Amazon EC2 instances, or Elastic IP addresses that are located in one AWS Region or multiple Regions.
                                    https://docs.aws.amazon.com/global-accelerator/latest/dg/what-is-global-accelerator.html


                                    NEW QUESTION # 306
                                    The company wants to integrate new sensors in a loosely-coupled, fully managed, and serverless way. The company cannot modify the application code.
                                    Which solution will meet these requirements?

                                    Answer: B

                                    Explanation:
                                    Amazon Managed Service for Apache Flink (formerly Kinesis Data Analytics) is a fully managed, serverless service for real-time processing of streaming data. You can consume data from Kinesis Data Streams, perform anomaly detection, and then output the results to another Kinesis stream. This approach is loosely coupled, fully managed, and does not require modifying the application code.
                                    AWS Documentation Extract:
                                    "Amazon Managed Service for Apache Flink enables you to process streaming data in real time, integrating with Kinesis Data Streams as source and sink, and is fully managed and serverless." (Source: Apache Flink on AWS documentation)
                                    * B: S3/Redshift is not real-time and adds complexity.
                                    * C, D: EC2/ECS solutions are not serverless or fully managed.
                                    Reference: AWS Certified Solutions Architect - Official Study Guide, Real-Time Analytics.


                                    NEW QUESTION # 307
                                    A company has an API that receives real-time data from a fleet of monitoring devices. The API stores this data in an Amazon RDS DB instance for later analysis. The amount of data that the monitoring devices send to the API fluctuates. During periods of heavy traffic, the API often returns timeout errors.
                                    After an inspection of the logs, the company determines that the database is not capable of processing the volume of write traffic that comes from the API. A solutions architect must minimize the number of connections to the database and must ensure that data is not lost during periods of heavy traffic.
                                    Which solution will meet these requirements?

                                    Answer: D

                                    Explanation:
                                    Using Amazon SQS will help minimize the number of connections to the database, as the API will write data to a queue instead of directly to the database. Additionally, using an AWS Lambda function that Amazon SQS invokes to write data from the queue to the database will help ensure that data is not lost during periods of heavy traffic, as the queue will serve as a buffer between the API and the database.


                                    NEW QUESTION # 308
                                    A company has a serverless web application that is comprised of AWS Lambda functions. The application experiences spikes in traffic that cause increased latency because of cold starts. The company wants to improve the application's ability to handle traffic spikes and to minimize latency. The solution must optimize costs during periods when traffic is low.

                                    Answer: D

                                    Explanation:
                                    Key Requirements:
                                    Handle traffic spikes efficiently and reduce latency caused by cold starts.
                                    Optimize costs during low traffic periods.
                                    Analysis of Options:
                                    Option A:
                                    Provisioned Concurrency:Reduces cold start latency by pre-warming Lambda environments for the required number of concurrent executions.
                                    AWS Application Auto Scaling:Automatically adjusts provisioned concurrency based on demand, ensuring cost optimization by scaling down during low traffic.
                                    Correct Approach:Provides a balance between performance during traffic spikes and cost optimization during idle periods.
                                    Option B:
                                    Using EC2 instances with Auto Scaling introduces unnecessary complexity for a serverless architecture. It requires additional management and does not address the issue of cold starts for Lambda.
                                    Incorrect Approach:Contradicts the serverless design philosophy and increases operational overhead.
                                    Option C:
                                    Setting a fixed concurrency level ensures performance during spikes but does not optimize costs during low traffic. This approach would maintain provisioned instances unnecessarily.
                                    Incorrect Approach:Lacks cost optimization.
                                    Option D:
                                    Using EventBridge Scheduler for periodic invocations may reduce cold starts but does not dynamically scale based on traffic demand. It also leads to unnecessary invocations during idle times.
                                    Incorrect Approach:Suboptimal for high traffic fluctuations and cost control.
                                    AWS Solution Architect Reference:
                                    AWS Lambda Provisioned Concurrency
                                    AWS Application Auto Scaling with Lambda


                                    NEW QUESTION # 309
                                    A company runs an application that uses Docker containers in an on-premises data center. The application runs on a container host that stores persistent data files in a local volume. Container instances use the stored persistent data.
                                    The company wants to migrate the application to fully managed AWS services.
                                    Which solution will meet these requirements?

                                    Answer: C

                                    Explanation:
                                    Amazon ECS with the Fargate launch type is a fully managed container service that does not require managing EC2 instances. By mounting an Amazon EFS volume to the containers, the application can maintain persistent storage that is accessible across multiple containers and tasks. This approach fully migrates the application to managed AWS services while preserving persistent data.


                                    NEW QUESTION # 310
                                    ......

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